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Field
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. Bastian Betthaeuser working on the ERC-funded project ‘Understanding the Consequences of Major Health Crises for Education: Learning from the COVID-19 Pandemic (LEARN)’. The LEARN project: Health crises
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patients in Dr Sreedharan’s clinic. In the lab, the student will learn a broad pallet of techniques to enable them to perform cutting-edge research to develop urgently needed treatments for ALS. The student
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opportunities and value diversity and respect in our working and learning environment. We are looking for a highly motivated doctoral researcher to develop new metabolomics strategy to advance and speed up anti
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and are committed to finding the best candidate, recognizing that growth and learning are part of the role. We expect: the ability to work independently and on your own initiative a methodical and
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lesions and promoting nerve tissue regeneration Cell-Type Specific Role of the mTOR Signaling Pathway in Astrocytes and NG2 Glia during Central Nervous System Injury and Regeneration Deciphering Lipid
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in
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? No Offer Description NEWTON is a training network that a revolutionary approach of a converged wireless-optical network architecture that makes reality an efficient 6G Cell Free (CF)-based access
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 24 days ago
of German Experience in dynamic modelling of infectious diseases Laboratory methods for serology/ELISA (experience gained during MSc or BSc studies desirable) Knowledge on/ experience in Machine learning
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PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and